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RealVision

Financiado

Cerrado

Hyperrealistic Imaging Experience

The aim of realistic digital imaging is the creation of high quality imagery, which faithfully represents the physical environment. The ultimate goal is to create images, which are perceptually indistinguishable from a real scene.... ver más

30/06/2022

TECHNICAL UNIVERSI...

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

DANMARKS TEKNISKE UNIVERSITET No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 27 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2022-06-30

MSCA-ITN-2017: Innovative Training Networks

I+D

Cerrada hace 8 años

0% 100% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

27 Participantes

TECHNICAL UNIVERSITY OF DENM...

580.16K€ | Lider

CELULOSA DE LEVANTE SA

480.04K€ | Participante

UOXF

273.29K€ | Participante

MPG

249.22K€ | Participante

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Duración del proyecto: 58 meses Fecha Inicio: 2017-08-10
Fecha Fin: 2022-06-30

Líder del proyecto

DANMARKS TEKNISKE UNIVERSITET No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 4M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The aim of realistic digital imaging is the creation of high quality imagery, which faithfully represents the physical environment. The ultimate goal is to create images, which are perceptually indistinguishable from a real scene. The RealVision network brings together leading universities, centers focused on industrial development and companies in Multimedia, Optics, Visual Communication, Visual Computing, Computer Graphics and Human Vision research across Europe, with the aim of training a new generation of scientists, technologists, and entrepreneurs that will move Europe into a leading role in innovative hyper-realistic imaging technologies. Current imaging technologies capture only a fraction of visual information that the human eye can see. The colours and dynamic range are inadequate for most real-world scenes and not all depth cues required for natural 3D vision are captured. This limits the realism of the experience and has hampered the introduction of 3D technology. Advancement in imaging technologies makes it possible to circumvent these bottlenecks in visual systems. As a result, new visual signal-processing areas have emerged such as light fields, ultra-high definition, highframe rate and high dynamic range imaging. The novel combinations of those technologies can facilitate a hyper-realistic visual experience. This will without doubt be the future frontier for new imaging systems. However there are several technological barriers that need to be overcome as well as challenges in what are the best solutions perceptually. The goal of this network is to combine expertise from several disciplines as engineering, computer science, physics, vision science and psychology – usually disconnected – and train ESRs to be capable of working with all stages and aspects of visual processing to overcome existing interdisciplinary and intersectorial barriers to efficiently develop truly perceptually better visual imaging systems.

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